Overview

Dataset statistics

Number of variables6
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory51.3 B

Variable types

Numeric1
Categorical3
Text2

Alerts

base_year has constant value ""Constant
bsns_nm has constant value ""Constant
seq_no is highly overall correlated with instt_nmHigh correlation
instt_nm is highly overall correlated with seq_noHigh correlation
seq_no has unique valuesUnique
cntnts_url has unique valuesUnique

Reproduction

Analysis started2023-12-10 09:49:27.038916
Analysis finished2023-12-10 09:49:28.419484
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

seq_no
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.37
Minimum1
Maximum2644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:49:28.612354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.95
Q127.75
median53.5
Q378.25
95-th percentile98.05
Maximum2644
Range2643
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation445.17557
Coefficient of variation (CV)3.4411036
Kurtosis29.634467
Mean129.37
Median Absolute Deviation (MAD)25.5
Skewness5.5588693
Sum12937
Variance198181.29
MonotonicityNot monotonic
2023-12-10T18:49:28.905116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
9 1
1.0%
10 1
1.0%
11 1
1.0%
12 1
1.0%
ValueCountFrequency (%)
2644 1
1.0%
2643 1
1.0%
2642 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

base_year
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2020
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 100
100.0%

Length

2023-12-10T18:49:29.283819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:49:29.438359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 100
100.0%

bsns_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
온라인미디어 예술활동 지원
100 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row온라인미디어 예술활동 지원
2nd row온라인미디어 예술활동 지원
3rd row온라인미디어 예술활동 지원
4th row온라인미디어 예술활동 지원
5th row온라인미디어 예술활동 지원

Common Values

ValueCountFrequency (%)
온라인미디어 예술활동 지원 100
100.0%

Length

2023-12-10T18:49:29.610744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:49:29.767736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온라인미디어 100
33.3%
예술활동 100
33.3%
지원 100
33.3%

instt_nm
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
부산문화재단
30 
전라남도문화재단
23 
대구문화재단
22 
경기문화재단
18 
충남문화재단
5 
Other values (2)
 
2

Length

Max length8
Median length6
Mean length6.46
Min length6

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row충남문화재단
2nd row경북문화재단
3rd row충남문화재단
4th row충남문화재단
5th row전라남도문화재단

Common Values

ValueCountFrequency (%)
부산문화재단 30
30.0%
전라남도문화재단 23
23.0%
대구문화재단 22
22.0%
경기문화재단 18
18.0%
충남문화재단 5
 
5.0%
경북문화재단 1
 
1.0%
강원문화재단 1
 
1.0%

Length

2023-12-10T18:49:29.961341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:49:30.192117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산문화재단 30
30.0%
전라남도문화재단 23
23.0%
대구문화재단 22
22.0%
경기문화재단 18
18.0%
충남문화재단 5
 
5.0%
경북문화재단 1
 
1.0%
강원문화재단 1
 
1.0%

cntnts_nm
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:49:30.845288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length45
Mean length24.46
Min length5

Characters and Unicode

Total characters2446
Distinct characters351
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)97.0%

Sample

1st row농사적 예술하기(본영상)
2nd row2020.일상을 그리다
3rd row농사적 예술하기 e-book
4th rowAlexander Glazunov = Chant du Menestrel
5th rowGallery Bap_우용민
ValueCountFrequency (%)
20
 
3.8%
뮤지컬 10
 
1.9%
비방문 10
 
1.9%
탈취작전 10
 
1.9%
ep 9
 
1.7%
2020 7
 
1.3%
인터뷰 6
 
1.1%
아트체인지업 6
 
1.1%
렉처오페라 6
 
1.1%
out 6
 
1.1%
Other values (318) 443
83.1%
2023-12-10T18:49:32.024857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
440
 
18.0%
e 63
 
2.6%
a 50
 
2.0%
r 47
 
1.9%
o 40
 
1.6%
t 37
 
1.5%
아 37
 
1.5%
i 35
 
1.4%
지 31
 
1.3%
2 27
 
1.1%
Other values (341) 1639
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1138
46.5%
Lowercase Letter 473
19.3%
Space Separator 440
 
18.0%
Uppercase Letter 196
 
8.0%
Decimal Number 89
 
3.6%
Other Punctuation 70
 
2.9%
Dash Punctuation 17
 
0.7%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Final Punctuation 4
 
0.2%
Other values (3) 9
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 37
 
3.3%
지 31
 
2.7%
라 26
 
2.3%
트 25
 
2.2%
의 23
 
2.0%
인 21
 
1.8%
기 19
 
1.7%
하 17
 
1.5%
전 17
 
1.5%
다 15
 
1.3%
Other values (260) 907
79.7%
Lowercase Letter
ValueCountFrequency (%)
e 63
13.3%
a 50
10.6%
r 47
9.9%
o 40
 
8.5%
t 37
 
7.8%
i 35
 
7.4%
n 25
 
5.3%
u 23
 
4.9%
l 20
 
4.2%
s 18
 
3.8%
Other values (18) 115
24.3%
Uppercase Letter
ValueCountFrequency (%)
O 22
 
11.2%
E 21
 
10.7%
I 16
 
8.2%
P 16
 
8.2%
A 14
 
7.1%
S 11
 
5.6%
M 9
 
4.6%
G 9
 
4.6%
F 8
 
4.1%
T 8
 
4.1%
Other values (14) 62
31.6%
Decimal Number
ValueCountFrequency (%)
2 27
30.3%
0 22
24.7%
1 18
20.2%
3 8
 
9.0%
4 6
 
6.7%
5 3
 
3.4%
9 2
 
2.2%
6 2
 
2.2%
8 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 25
35.7%
/ 10
 
14.3%
' 10
 
14.3%
" 8
 
11.4%
, 6
 
8.6%
# 4
 
5.7%
? 3
 
4.3%
! 3
 
4.3%
: 1
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 16
94.1%
– 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
[ 3
60.0%
( 2
40.0%
Close Punctuation
ValueCountFrequency (%)
] 3
60.0%
) 2
40.0%
Space Separator
ValueCountFrequency (%)
440
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1138
46.5%
Latin 669
27.4%
Common 639
26.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 37
 
3.3%
지 31
 
2.7%
라 26
 
2.3%
트 25
 
2.2%
의 23
 
2.0%
인 21
 
1.8%
기 19
 
1.7%
하 17
 
1.5%
전 17
 
1.5%
다 15
 
1.3%
Other values (260) 907
79.7%
Latin
ValueCountFrequency (%)
e 63
 
9.4%
a 50
 
7.5%
r 47
 
7.0%
o 40
 
6.0%
t 37
 
5.5%
i 35
 
5.2%
n 25
 
3.7%
u 23
 
3.4%
O 22
 
3.3%
E 21
 
3.1%
Other values (42) 306
45.7%
Common
ValueCountFrequency (%)
440
68.9%
2 27
 
4.2%
. 25
 
3.9%
0 22
 
3.4%
1 18
 
2.8%
- 16
 
2.5%
/ 10
 
1.6%
' 10
 
1.6%
3 8
 
1.3%
" 8
 
1.3%
Other values (19) 55
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1298
53.1%
Hangul 1138
46.5%
Punctuation 8
 
0.3%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
440
33.9%
e 63
 
4.9%
a 50
 
3.9%
r 47
 
3.6%
o 40
 
3.1%
t 37
 
2.9%
i 35
 
2.7%
2 27
 
2.1%
n 25
 
1.9%
. 25
 
1.9%
Other values (66) 509
39.2%
Hangul
ValueCountFrequency (%)
아 37
 
3.3%
지 31
 
2.7%
라 26
 
2.3%
트 25
 
2.2%
의 23
 
2.0%
인 21
 
1.8%
기 19
 
1.7%
하 17
 
1.5%
전 17
 
1.5%
다 15
 
1.3%
Other values (260) 907
79.7%
Punctuation
ValueCountFrequency (%)
’ 4
50.0%
‘ 3
37.5%
– 1
 
12.5%
None
ValueCountFrequency (%)
ö 1
50.0%
è 1
50.0%

cntnts_url
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:49:32.687391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length58
Mean length58.21
Min length58

Characters and Unicode

Total characters5821
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowhttps://artson.arko.or.kr/artson/board/view/104/101?cid=14
2nd rowhttps://artson.arko.or.kr/artson/board/view/104/101?cid=3150
3rd rowhttps://artson.arko.or.kr/artson/board/view/104/101?cid=16
4th rowhttps://artson.arko.or.kr/artson/board/view/104/101?cid=17
5th rowhttps://artson.arko.or.kr/artson/board/view/104/101?cid=18
ValueCountFrequency (%)
https://artson.arko.or.kr/artson/board/view/104/101?cid=14 1
 
1.0%
https://artson.arko.or.kr/artson/board/view/104/101?cid=76 1
 
1.0%
https://artson.arko.or.kr/artson/board/view/104/101?cid=88 1
 
1.0%
https://artson.arko.or.kr/artson/board/view/104/101?cid=87 1
 
1.0%
https://artson.arko.or.kr/artson/board/view/104/101?cid=86 1
 
1.0%
https://artson.arko.or.kr/artson/board/view/104/101?cid=85 1
 
1.0%
https://artson.arko.or.kr/artson/board/view/104/101?cid=84 1
 
1.0%
https://artson.arko.or.kr/artson/board/view/104/101?cid=83 1
 
1.0%
https://artson.arko.or.kr/artson/board/view/104/101?cid=82 1
 
1.0%
https://artson.arko.or.kr/artson/board/view/104/101?cid=81 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T18:49:33.523946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 700
 
12.0%
r 600
 
10.3%
o 500
 
8.6%
t 400
 
6.9%
a 400
 
6.9%
1 337
 
5.8%
s 300
 
5.2%
. 300
 
5.2%
0 221
 
3.8%
n 200
 
3.4%
Other values (21) 1863
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3700
63.6%
Other Punctuation 1200
 
20.6%
Decimal Number 821
 
14.1%
Math Symbol 100
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 600
16.2%
o 500
13.5%
t 400
10.8%
a 400
10.8%
s 300
8.1%
n 200
 
5.4%
k 200
 
5.4%
d 200
 
5.4%
i 200
 
5.4%
c 100
 
2.7%
Other values (6) 600
16.2%
Decimal Number
ValueCountFrequency (%)
1 337
41.0%
0 221
26.9%
4 120
 
14.6%
3 24
 
2.9%
6 21
 
2.6%
8 21
 
2.6%
9 20
 
2.4%
5 20
 
2.4%
2 19
 
2.3%
7 18
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 700
58.3%
. 300
25.0%
? 100
 
8.3%
: 100
 
8.3%
Math Symbol
ValueCountFrequency (%)
= 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3700
63.6%
Common 2121
36.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 600
16.2%
o 500
13.5%
t 400
10.8%
a 400
10.8%
s 300
8.1%
n 200
 
5.4%
k 200
 
5.4%
d 200
 
5.4%
i 200
 
5.4%
c 100
 
2.7%
Other values (6) 600
16.2%
Common
ValueCountFrequency (%)
/ 700
33.0%
1 337
15.9%
. 300
14.1%
0 221
 
10.4%
4 120
 
5.7%
? 100
 
4.7%
= 100
 
4.7%
: 100
 
4.7%
3 24
 
1.1%
6 21
 
1.0%
Other values (5) 98
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5821
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 700
 
12.0%
r 600
 
10.3%
o 500
 
8.6%
t 400
 
6.9%
a 400
 
6.9%
1 337
 
5.8%
s 300
 
5.2%
. 300
 
5.2%
0 221
 
3.8%
n 200
 
3.4%
Other values (21) 1863
32.0%

Interactions

2023-12-10T18:49:27.734341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:49:33.741149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
seq_noinstt_nmcntnts_nmcntnts_url
seq_no1.0000.7421.0001.000
instt_nm0.7421.0001.0001.000
cntnts_nm1.0001.0001.0001.000
cntnts_url1.0001.0001.0001.000
2023-12-10T18:49:33.921585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
seq_noinstt_nm
seq_no1.0000.783
instt_nm0.7831.000

Missing values

2023-12-10T18:49:27.928117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:49:28.275949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

seq_nobase_yearbsns_nminstt_nmcntnts_nmcntnts_url
012020온라인미디어 예술활동 지원충남문화재단농사적 예술하기(본영상)https://artson.arko.or.kr/artson/board/view/104/101?cid=14
126422020온라인미디어 예술활동 지원경북문화재단2020.일상을 그리다https://artson.arko.or.kr/artson/board/view/104/101?cid=3150
232020온라인미디어 예술활동 지원충남문화재단농사적 예술하기 e-bookhttps://artson.arko.or.kr/artson/board/view/104/101?cid=16
342020온라인미디어 예술활동 지원충남문화재단Alexander Glazunov = Chant du Menestrelhttps://artson.arko.or.kr/artson/board/view/104/101?cid=17
452020온라인미디어 예술활동 지원전라남도문화재단Gallery Bap_우용민https://artson.arko.or.kr/artson/board/view/104/101?cid=18
562020온라인미디어 예술활동 지원전라남도문화재단Gallery Bap_박치호https://artson.arko.or.kr/artson/board/view/104/101?cid=19
672020온라인미디어 예술활동 지원전라남도문화재단Gallery Bap_조병연https://artson.arko.or.kr/artson/board/view/104/101?cid=20
726432020온라인미디어 예술활동 지원부산문화재단작가들이 사랑한 영화https://artson.arko.or.kr/artson/board/view/104/101?cid=3158
892020온라인미디어 예술활동 지원전라남도문화재단빛의 하모니https://artson.arko.or.kr/artson/board/view/104/101?cid=22
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